Speech Denoising with Auditory Models
Main Authors: | Saddler, Mark R, Francl, Andrew, Feather, Jenelle, Qian, Kaizhi, Zhang, Yang, McDermott, Josh H |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | English |
Published: |
International Speech Communication Association
2023
|
Online Access: | https://hdl.handle.net/1721.1/150013 |
Similar Items
-
Many but not All Deep Neural Network Audio Models Predict Auditory Cortex Responses and Exhibit Hierarchical Layer-Region Correspondence
by: Tuckute, Greta, et al.
Published: (2023) -
Untangling in Invariant Speech Recognition
by: Stephenson, Cory, et al.
Published: (2021) -
Model metamers illuminate divergences between biological and artificial neural networks
by: Feather, Jenelle, et al.
Published: (2023) -
Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception
by: Saddler, Mark R, et al.
Published: (2023) -
Natural Sound Statistics Predict Auditory Grouping Principles
by: Mlynarski, Wiktor, et al.
Published: (2021)